About us
The UK Centre for Polar Observation and Modelling (CPOM) is an international leader in studying the impacts of climate change upon the polar regions. We specialise in the use of satellite data for tracking and understanding Earth’s rapidly changing land and sea ice, and are passionate about delivering innovative information and datasets to a broad range of scientific and public sector stakeholders. With an international reputation for developing new satellite missions, algorithms and datasets, we work closely with multiple national and international partners, including the European Space Agency and the British Antarctic Survey.
Lancaster University hosts one of the principle CPOM research hubs in the UK, specialising in the study of the Greenland and Antarctic Ice Sheets. Our work aims to quantify and understand the contribution that ice sheets make to sea level rise, under our changing climate. Working in Lancaster, you will join a rapidly-growing, ambitious and friendly group, with the bonus of fantastic areas of natural beauty such as the Lake District on your doorstep.
Here are some tasters of our work and its impact:
https://www.weforum.org/agenda/2019/05/antarctica-s-ice-is-melting-5-times-faster-than-in-the-90s/
https://www.bbc.co.uk/news/science-environment-47461199
About you
We are looking for an Earth Observation Data Scientist with a scientific degree or equivalent experience, who is passionate about tackling the pressing challenges of climate change. Relevant industry experience or a postgraduate qualification is desirable, but not essential. You will work on a range of national and international projects, supporting CPOM’s core business of developing and analysing satellite datasets. Your day-to-day tasks will be wide-ranging, including data analysis and visualisation, system design and algorithm implementation, and contributing to scientific research. You should have a keen interest in problem solving and the desire to work collaboratively as part of a broader team. An interest in Earth Observation and Spatial Analysis with Python is desirable, alongside the ability to work proactively on a wide range of projects.
Responsibilities
We are a dynamic and rapidly-growing team and so you will have the opportunity to be involved in many different aspects of our activities, including system design, data engineering, algorithm development and implementation, and dataset analysis and production. It’s genuinely exciting and rewarding work; with the opportunity to influence the direction and impact of our group within an international setting. The core responsibilities of the role are:
What does it mean to work with us?
This is a full time post, anticipated to start in May 2024, or at a mutually agreed date, and expected to finish in April 2028.
Informal enquiries are welcome, please contact Mal McMillan; m.mcmillan@lancaster.ac.uk.
Apply Online
Further details:
Please note: unless specified otherwise in the advert, all advertised roles are UK based.
Find out what it's like to work at Lancaster University, including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace.
The University recognises and celebrates good employment practice undertaken to address all inequality in higher education.
We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.
Location: | Lancaster |
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Salary: | £31,396 to £44,263 |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 13th March 2024 |
Closes: | 21st April 2024 |
Job Ref: | 0387-24 |
Type / Role:
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